ESTIMATION OF ELECTRICAL PROPERTIES OF ROCK FOR GRANULAR PORE MODELS AND CRACKS USING FINITE ELEMENT METHODS

Electrical conductivity is a powerful parameter in determining type of reservoirs which depends on pore space geometry. Studies on this topic have been done by many <br /> <br /> researchers, e.g. by examining the relationship of electrical conductivity with a pore radius, grain shape,...

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Main Author: BISRI MUSTOFA (NIM : 20215058), MUHAMMAD
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/23210
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:23210
spelling id-itb.:232102017-11-17T09:24:31ZESTIMATION OF ELECTRICAL PROPERTIES OF ROCK FOR GRANULAR PORE MODELS AND CRACKS USING FINITE ELEMENT METHODS BISRI MUSTOFA (NIM : 20215058), MUHAMMAD Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/23210 Electrical conductivity is a powerful parameter in determining type of reservoirs which depends on pore space geometry. Studies on this topic have been done by many <br /> <br /> researchers, e.g. by examining the relationship of electrical conductivity with a pore radius, grain shape, and many more microstructure parameters. Here, we reviewing <br /> <br /> this relationship, with conducted Granular pore models and crack models. Both are chosen to compare the change in electrical conductivity as a function of porosity and <br /> <br /> size. The model conducted by varying the value of porisity (i.e.: 0.05 to 0.35) and the size of sample size (323 - 1283 voxels). Models of fully saturated porous rocks used in this study consist of solid and fluid phase with electrical conductivity of 0.01 S/m and 0.2 S/m respectively. Electrical conductivity calculations are performed by computational techniques using finite element method (FEM) through energy approach, which has been compared in advance by analytical approach. Among the <br /> <br /> analytical approaches used to compare the numerical codes are series-parallel layers, the Browns equation, Keller-Mendellson, and Nguyens equation. Comparison has been done both for 2D and 3D models and the results show good agrement. Based on the calculation of the whole of model show that the value of electrical conductivity of fracture model greater than the other one, this becomes important when we will identify a rock sample. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Electrical conductivity is a powerful parameter in determining type of reservoirs which depends on pore space geometry. Studies on this topic have been done by many <br /> <br /> researchers, e.g. by examining the relationship of electrical conductivity with a pore radius, grain shape, and many more microstructure parameters. Here, we reviewing <br /> <br /> this relationship, with conducted Granular pore models and crack models. Both are chosen to compare the change in electrical conductivity as a function of porosity and <br /> <br /> size. The model conducted by varying the value of porisity (i.e.: 0.05 to 0.35) and the size of sample size (323 - 1283 voxels). Models of fully saturated porous rocks used in this study consist of solid and fluid phase with electrical conductivity of 0.01 S/m and 0.2 S/m respectively. Electrical conductivity calculations are performed by computational techniques using finite element method (FEM) through energy approach, which has been compared in advance by analytical approach. Among the <br /> <br /> analytical approaches used to compare the numerical codes are series-parallel layers, the Browns equation, Keller-Mendellson, and Nguyens equation. Comparison has been done both for 2D and 3D models and the results show good agrement. Based on the calculation of the whole of model show that the value of electrical conductivity of fracture model greater than the other one, this becomes important when we will identify a rock sample.
format Theses
author BISRI MUSTOFA (NIM : 20215058), MUHAMMAD
spellingShingle BISRI MUSTOFA (NIM : 20215058), MUHAMMAD
ESTIMATION OF ELECTRICAL PROPERTIES OF ROCK FOR GRANULAR PORE MODELS AND CRACKS USING FINITE ELEMENT METHODS
author_facet BISRI MUSTOFA (NIM : 20215058), MUHAMMAD
author_sort BISRI MUSTOFA (NIM : 20215058), MUHAMMAD
title ESTIMATION OF ELECTRICAL PROPERTIES OF ROCK FOR GRANULAR PORE MODELS AND CRACKS USING FINITE ELEMENT METHODS
title_short ESTIMATION OF ELECTRICAL PROPERTIES OF ROCK FOR GRANULAR PORE MODELS AND CRACKS USING FINITE ELEMENT METHODS
title_full ESTIMATION OF ELECTRICAL PROPERTIES OF ROCK FOR GRANULAR PORE MODELS AND CRACKS USING FINITE ELEMENT METHODS
title_fullStr ESTIMATION OF ELECTRICAL PROPERTIES OF ROCK FOR GRANULAR PORE MODELS AND CRACKS USING FINITE ELEMENT METHODS
title_full_unstemmed ESTIMATION OF ELECTRICAL PROPERTIES OF ROCK FOR GRANULAR PORE MODELS AND CRACKS USING FINITE ELEMENT METHODS
title_sort estimation of electrical properties of rock for granular pore models and cracks using finite element methods
url https://digilib.itb.ac.id/gdl/view/23210
_version_ 1821121006411972608